Introduction
APUS-xDAN-4.0-MOE is a transformer-based decoder-only language model, developed on a vast corpus of data to ensure robust performance.
This is an enhanced MoE (Mixture of Experts) model built on top of the continued pre-training enhanced LlaMA architecture, further optimized with human-enhanced feedback algorithms to improve reasoning, mathematical, and logical capabilities during inference.
For more comprehensive information, please visit our blog post and GitHub repository. https://github.com/shootime2021/APUS-xDAN-4.0-moe
Model Details
APUS-xDAN-4.0-MOE leverages the innovative Mixture of Experts (MoE) architecture, incorporating components from dense language models. Specifically, it inherits its capabilities from the highly performant xDAN-L2 Series. With a total of 136 billion parameters, of which 30 billion are activated during runtime, APUS-xDAN-4.0-MOE demonstrates unparalleled efficiency. Through advanced quantization techniques, our open-source version occupies a mere 42GB, making it seamlessly compatible with consumer-grade GPUs like the 4090 and 3090. The following specifications:
- Parameters: 136B
- Architecture: Mixture of 4 Experts (MoE)
- Experts Utilization: 2 experts used per token
- Layers: 60
- Attention Heads: 56 for queries, 8 for keys/values
- Embedding Size: 7,168
- Additional Features:
- Rotary embeddings (RoPE)
- Supports activation sharding and 1.5bit~4bit quantization
- Maximum Sequence Length (context): 32,768 tokens
Usage
| Model | Quantized | Size | Context | Hardware Requirement |
|---|---|---|---|---|
| APUS-xDAN4.0-MoE-0402.Q2_K.gguf | Q2_K | 39G | 32k | 2x24G GPU memory |
| APUS-xDAN4.0-MoE-0402.IQ3_XXS.gguf | IQ3_XXS | 41G | 32k | 2x24G GPU memory |
| APUS-xDAN4.0-MoE-0402.Q3_K_M_Matrix.gguf | Q3_K_M | 51G | 32k | 2x24G GPU memory |
| APUS-xDAN4.0-MoE-0402.Q4_K_M.gguf | Q4_K_M | 64G | 32k | 3x24G GPU memory |
| APUS-xDAN4.0-MoE-0402 |
Initial
git clone https://github.com/ggerganov/llama.cpp.git
make LLAMA_CUDA=1
Interactive Chat
./main -m APUS-xDAN4.0-MoE-0402.Q2_K.gguf \
--prompt "You are a helpful assistant named APUS-xDAN4.0 MoE." --chatml \
--interactive \
--temp 0.7 \
--ctx-size 4096 (32k)
License
APUS-xDAN-4.0-MOE is distributed under the LLAMA 2 Community License, Copyright (c) Meta Platforms, Inc. All Rights Reserved.
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